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On-chip 3D potency assay for prediction of clinical outcomes for cell therapy candidates for osteoarthritis

Author

Listed:
  • Rebecca S. Schneider

    (Georgia Institute of Technology
    Georgia Institute of Technology)

  • Elisa B. Nieves

    (Georgia Institute of Technology
    Georgia Institute of Technology and Emory University)

  • Bhavay Aggarwal

    (Georgia Institute of Technology and Emory University)

  • Annie C. Bowles-Welch

    (Georgia Institute of Technology
    Georgia Institute of Technology)

  • Hazel Y. Stevens

    (Georgia Institute of Technology
    Georgia Institute of Technology)

  • Linda E. Kippner

    (Georgia Institute of Technology
    Georgia Institute of Technology)

  • Scott D. Boden

    (Emory University)

  • Kenneth Mautner

    (Emory University)

  • Hicham Drissi

    (Emory University)

  • Krishnendu Roy

    (Georgia Institute of Technology
    Georgia Institute of Technology and Emory University)

  • Wilbur A. Lam

    (Georgia Institute of Technology
    Georgia Institute of Technology and Emory University)

  • Saurabh Sinha

    (Georgia Institute of Technology and Emory University)

  • Andrés J. García

    (Georgia Institute of Technology
    Georgia Institute of Technology)

Abstract

The lack of clinically predictive potency assays for cell products significantly impedes translation of these therapies. Here, we describe a microfluidic on-chip 3D system for rapid evaluation of a subset of patient-derived bone marrow aspirate concentrate (BMAC) samples used in a phase 3 multicenter trial (NCT03818737) evaluating autologous cells for relieving knee osteoarthritis pain. BMAC clinical samples cultured in the on-chip 3D system exhibit elevated levels of immunomodulatory and trophic proteins compared to 2D culture. Using analyte information from in vitro assays and patient-matched clinical data, we build linear regression prediction models for clinical outcomes. We demonstrate improved clinical prediction by cross-validation accuracy for the on-chip 3D platform compared to 2D culture. Additionally, on-chip 3D assay metrics display higher correlative power with patient pain scores compared to the 2D assay. This study establishes a potency assay with improved prediction power to accelerate translation of cell therapies.

Suggested Citation

  • Rebecca S. Schneider & Elisa B. Nieves & Bhavay Aggarwal & Annie C. Bowles-Welch & Hazel Y. Stevens & Linda E. Kippner & Scott D. Boden & Kenneth Mautner & Hicham Drissi & Krishnendu Roy & Wilbur A. L, 2025. "On-chip 3D potency assay for prediction of clinical outcomes for cell therapy candidates for osteoarthritis," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60158-w
    DOI: 10.1038/s41467-025-60158-w
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    References listed on IDEAS

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    1. Minsuh Kim & Hyemin Mun & Chang Oak Sung & Eun Jeong Cho & Hye-Joon Jeon & Sung-Min Chun & Da Jung Jung & Tae Hoon Shin & Gi Seok Jeong & Dong Kwan Kim & Eun Kyung Choi & Seong-Yun Jeong & Alison M. T, 2019. "Patient-derived lung cancer organoids as in vitro cancer models for therapeutic screening," Nature Communications, Nature, vol. 10(1), pages 1-15, December.
    2. Jack W Scannell & Jim Bosley, 2016. "When Quality Beats Quantity: Decision Theory, Drug Discovery, and the Reproducibility Crisis," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-21, February.
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